FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition

dc.contributor.author	Kasabov, Nikola	en_NZ
dc.contributor.author	Kim, Jaesoo	en_NZ
dc.contributor.author	Watts, Michael	en_NZ
dc.contributor.author	Gray, Andrew	en_NZ
dc.date.copyright	1996-12	en_NZ
dc.identifier.citation	Kasabov, N., Kim, J., Watts, M., & Gray, A. (1996). FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition (Information Science Discussion Papers Series No. 96/23). University of Otago. Retrieved from http://hdl.handle.net/10523/1101	en
dc.identifier.uri	http://hdl.handle.net/10523/1101
dc.description	Please note that this is a searchable PDF derived via optical character recognition (OCR) from the original source document. As the OCR process is never 100% perfect, there may be some discrepancies between the document image and the underlying text.	en_NZ
dc.description.abstract	Fuzzy neural networks have several features that make them well suited to a wide range of knowledge engineering applications. These strengths include fast and accurate learning, good generalisation capabilities, excellent explanation facilities in the form of semantically meaningful fuzzy rules, and the ability to accommodate both data and existing expert knowledge about the problem under consideration. This paper investigates adaptive learning, rule extraction and insertion, and neural/fuzzy reasoning for a particular model of a fuzzy neural network called FuNN. As well as providing for representing a fuzzy system with an adaptable neural architecture, FuNN also incorporates a genetic algorithm in one of its adaptation modes. A version of FuNN—FuNN/2, which employs triangular membership functions and correspondingly modified learning and adaptation algorithms, is also presented in the paper.	en_NZ
dc.format.mimetype	application/pdf
dc.publisher	University of Otago	en_NZ
dc.relation.ispartofseries	Information Science Discussion Papers Series	en_NZ
dc.subject.lcsh	QA76 Computer software	en_NZ
dc.title	FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition	en_NZ
dc.type	Discussion Paper	en_NZ
dc.description.version	Unpublished	en_NZ
otago.bitstream.pages	30	en_NZ
otago.date.accession	2011-02-02 03:43:18	en_NZ
otago.school	Information Science	en_NZ
otago.openaccess	Open
otago.place.publication	Dunedin, New Zealand	en_NZ
dc.identifier.eprints	1091	en_NZ
otago.school.eprints	Knowledge Engineering Laboratory	en_NZ
otago.school.eprints	Information Science	en_NZ
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otago.relation.number	96/23	en_NZ